受强制性开放获取政策约束的文章 - Chengfang Fang了解详情
可在其他位置公开访问的文章：10 篇
BDPL: A boundary differentially private layer against machine learning model extraction attacks
H Zheng, Q Ye, H Hu, C Fang, J Shi
Computer Security–ESORICS 2019: 24th European Symposium on Research in …, 2019
强制性开放获取政策： 国家自然科学基金委员会, Research Grants Council, Hong Kong
PrivKVM*: Revisiting key-value statistics estimation with local differential privacy
Q Ye, H Hu, X Meng, H Zheng, K Huang, C Fang, J Shi
IEEE Transactions on Dependable and Secure Computing 20 (1), 17-35, 2021
强制性开放获取政策： 国家自然科学基金委员会, Research Grants Council, Hong Kong
3dfed: Adaptive and extensible framework for covert backdoor attack in federated learning
H Li, Q Ye, H Hu, J Li, L Wang, C Fang, J Shi
2023 IEEE Symposium on Security and Privacy (SP), 1893-1907, 2023
强制性开放获取政策： 国家自然科学基金委员会, Research Grants Council, Hong Kong
Protecting decision boundary of machine learning model with differentially private perturbation
H Zheng, Q Ye, H Hu, C Fang, J Shi
IEEE Transactions on Dependable and Secure Computing 19 (3), 2007-2022, 2020
强制性开放获取政策： 国家自然科学基金委员会, Research Grants Council, Hong Kong
Cert-RNN: Towards Certifying the Robustness of Recurrent Neural Networks.
T Du, S Ji, L Shen, Y Zhang, J Li, J Shi, C Fang, J Yin, R Beyah, T Wang
CCS 21 (2021), 15-19, 2021
强制性开放获取政策： 国家自然科学基金委员会
DeNoL: A Few-Shot-Sample-Based Decoupling Noise Layer for Cross-channel Watermarking Robustness
H Fang, K Chen, Y Qiu, J Liu, K Xu, C Fang, W Zhang, EC Chang
Proceedings of the 31st ACM International Conference on Multimedia, 7345-7353, 2023
强制性开放获取政策： 国家自然科学基金委员会, National Research Foundation, Singapore
Differential aggregation against general colluding attackers
R Du, Q Ye, Y Fu, H Hu, J Li, C Fang, J Shi
2023 IEEE 39th International Conference on Data Engineering (ICDE), 2180-2193, 2023
强制性开放获取政策： 国家自然科学基金委员会, Research Grants Council, Hong Kong
MExMI: Pool-based active model extraction crossover membership inference
Y Xiao, Q Ye, H Hu, H Zheng, C Fang, J Shi
Advances in Neural Information Processing Systems 35, 10203-10216, 2022
强制性开放获取政策： 国家自然科学基金委员会, Research Grants Council, Hong Kong
Tracing the Origin of Adversarial Attack for Forensic Investigation and Deterrence
H Fang, J Zhang, Y Qiu, J Liu, K Xu, C Fang, EC Chang
Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2023
强制性开放获取政策： National Research Foundation, Singapore
Detecting Attacks Against Deep Reinforcement Learning for Autonomous Driving
M Pintor, L Demetrio, A Sotgiu, HY Lin, C Fang, A Demontis, B Biggio
2023 International Conference on Machine Learning and Cybernetics (ICMLC), 57-62, 2023
强制性开放获取政策： Government of Italy
出版信息和资助信息由计算机程序自动确定